Spark HBase Training Pune – Learn from Experts with Hands On!
Spark HBase Training in Pune with Big Data Analytics
Apache Spark Hbase Training
Apache Spark is a cluster computing platform designed to be fast and general-purpose.
On the speed side, Spark extends the popular MapReduce model to efficiently support more types of computations, including interactive queries and stream processing. Speed is important in processing large datasets, as it means the difference between exploring data interactively and waiting minutes or hours. One of the main features Spark offers for speed is the ability to run computations in memory, but the system is also more efficient than MapReduce for complex applications running on disk. Spark HBase Training Pune.
SparkOnHBase came to be out of a simple customer request to have a level of interaction between HBase and Spark similar to that already available between HBase and MapReduce. Here’s a quick summary of the functionality that was in scope:
Full access to HBase in a map or reduce stage
Ability to do a bulk load
Ability to do bulk operations like get, put, delete
Ability to be a data source to SQL engines
The initial release of SparkOnHBase was built for a Cloudera customers that had agreed to allow the work to become public. Thankfully, I got early help from fellow Clouderans and HBase PMC members Jon Hsieh and Matteo Bertozzi, and Spark PMC member Tathagata Das, to make sure the design would work both for base Apache Spark as well as Spark Streaming.